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Entry Level Devops Engineer Jobs in Maynard, MA (NOW HIRING)

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AWS CLOUD DevOps Engineer

Maynard, MA

$56 - $76.75/hr

Our team of software engineers & web developers create OneLink services and tools that provide the environment needed to instantly translate a website from virtually any language to any other ...

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AWS CLOUD DevOps Engineer

Maynard, MA · On-site

$56 - $76.75/hr

Our team of software engineers & web developers create OneLink services and tools that provide the environment needed to instantly translate a website from virtually any language to any other ...

Specter Aerospace

DevOps & Systems Engineer

Peabody, MA · On-site

$58.50 - $80.25/hr

Role Summary Specter Aerospace is seeking a DevOps & Systems Engineer to support the development, deployment, and maintenance of the internal systems used by our engineering, software, manufacturing ...

MIT Human Resources

Operations Engineer

Cambridge, MA · On-site

$76K - $102K/yr

OPERATIONS ENGINEER , MIT.nano , will be responsible for operation, training and maintenance of semiconductor research equipment within the MIT.nano facility. Equipment responsibilities include ...

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AWS Devops Engineering

Maynard, MA

$56 - $76.75/hr

Our team of software engineers & web developers create OneLink services and tools that provide the environment needed to instantly translate a website from virtually any language to any other ...

translations

AWS Devops Engineering

Maynard, MA · On-site

$56 - $76.75/hr

Our team of software engineers & web developers create OneLink services and tools that provide the environment needed to instantly translate a website from virtually any language to any other ...

PTC

Principal System Operations Engineer

Boston, MA · On-site

$118K - $180K/yr

Qualified candidates should have a background in Operations, DevOps, QA, or Support. Are you up for * Not just doing the work, but teaching others and explaining the "why" behind technical decisions

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How much do entry level devops engineer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for entry level devops engineer in Maynard, MA is $63.99, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $73.46 per hour, depending on experience, location, and employer.

What is an entry level DevOps engineer?

Entry Level DevOps Engineers are professionals who support the development and operations teams in automating, deploying, and maintaining software applications. They typically assist with building CI/CD pipelines, monitoring systems, configuring cloud infrastructure, and troubleshooting issues. At this stage, they are expected to have foundational knowledge of programming, system administration, and popular DevOps tools, but are still building experience and expertise. Their role is crucial in ensuring smooth collaboration between development and IT operations, helping organizations deliver software efficiently and reliably.

What does an entry level DevOps engineer do?

The duties of an entry-level DevOps engineer involve taking steps to integrate all aspects of software design, development, and updates into one managed system. DevOps utilizes IT operations to shorten the systems development lifecycle of an application. The responsibilities of an entry-level DevOps engineer often include working as part of a team to merge coding, test products, and plan updates. As in any software role, it is essential to ensure configuration parameters and network requirements are met. The goal of someone in this position is to speed development and updates while limiting bugs and incompatibility issues.

What are the key skills and qualifications needed to thrive as an entry level DevOps engineer?

To thrive as an Entry Level DevOps Engineer, you need a solid understanding of software development, basic scripting (such as Python or Bash), and familiarity with Linux systems, often supported by a degree in computer science or related field. Experience with CI/CD tools (like Jenkins or GitLab), cloud platforms (AWS, Azure, or GCP), and version control systems (such as Git) is typically required, and certifications like AWS Certified Cloud Practitioner can be advantageous. Strong problem-solving abilities, collaboration, and a willingness to learn are important soft skills for success in this role. These skills and qualities are essential to streamline software delivery, ensure reliable system operations, and adapt to the evolving needs of modern IT environments.

What are some common challenges faced by entry level DevOps engineers during their first year, and how can they best overcome them?

Entry level DevOps engineers often encounter challenges such as adapting to a fast-paced environment, learning a variety of tools (like CI/CD pipelines, containerization, and cloud services), and troubleshooting issues across development and operations. It's common to feel overwhelmed by the breadth of technologies and the need for effective communication between teams. To overcome these challenges, new DevOps engineers should focus on continuous learning, actively seek mentorship from experienced colleagues, and take initiative in documenting processes. Collaborating closely with both developers and system administrators will also help build a holistic understanding of the workflow.
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Entry Level Devops Engineer jobs near you
Infographic showing various Entry Level Devops Engineer job openings in Maynard, MA as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $133,103 per year, or $64 per hour.

Staff DevOps Engineer, Software, Product Operations

Lila Sciences

Cambridge, MA • On-site

$192K - $272K/yr

Full-time

Medical, Dental, Vision, Life

Re-posted 19 days ago

Job description

Your Impact at LILA
The Staff/Principal DevOps Engineer will drive the design, implementation, and optimization of our infrastructure and delivery platforms. This role bridges platform engineering, site reliability, and DevOps practices, building scalable, automated systems that enable fast, reliable software delivery across cloud and Kubernetes environments. You will collaborate with software engineers, lab scientists, and ML engineers to build infrastructure that powers automated scientific analysis, experiment orchestration, and more.
What You'll Be Building
  • Build Kubernetes-based systems supporting scientific services, ML pipelines, and platform workloads; including production hardening, RBAC, network policies, and Pod Security Standards
  • CI/CD pipelines with GitHub Actions/GitLab CI implementing best practices: build attestations, SBOM generation, dependency scanning, and container image hardening
  • Infrastructure-as-code with Terraform and Helm; policy-as-code guardrails (OPA/Kyverno/Checkov) with drift detection
  • AWS cloud infrastructure: EKS clusters, IAM least privilege, VPC/PrivateLink networking, KMS/Secrets Manager, ECR, S3, and centralized logging/monitoring
  • Platform tooling to streamline deployment, observability, and developer workflows, enabling self-service with secure defaults
  • Reliability engineering: SLOs/SLIs, incident response, capacity planning, and performance optimization throughout the stack
  • Software supply chain practices: artifact signing, registry governance and vulnerability management
  • QA and testing infrastructure: static analysis and code quality gate enforcement in CI pipelines, automated end-to-end and browser-based regression test suites, ephemeral test environments for PR-based validation, and pre-merge quality checks
  • Automation and tooling in Python or Go to improve infrastructure operations and integrate telemetry with observability platforms

What You'll Need to Succeed
  • Expertise in DevOps, SRE, Systems Engineering, or Platform Engineering in large scale cloud environments
  • Expertise in deploying to cloud environments (AWS, GCP, etc) using infrastructure-as-code (Terraform, Helm) and containerization
  • Deep experience with CI/CD systems (GitHub Actions, GitLab CI, or Jenkins) and GitOps practices
  • Strong proficiency in Python/scripting languages for automation and tooling
  • Strong understanding of Kubernetes operations: deployments, networking, storage, observability, and troubleshooting

Bonus Points For
  • SRE practices: observability platforms, chaos engineering, incident management
  • Securing ML/AI pipelines (model registries, training clusters, inference gateways)
  • Experience in regulated/audit-heavy environments (SOC 2, ISO 27001)
  • Supply chain security maturity: SBOMs, image signing, SLSA concepts
  • Administering static analysis platforms (custom quality profiles, security hotspot triage) and scaling browser-based test suites across parallel CI environments
  • Prior startup/high-growth experience balancing velocity with reliability

Compensation
We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
Expected Base Salary Range
$192,000-$272,000 USD
About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We're All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

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